Learn how NVIDIA's Nemotron family of open source models is redefining accelerated computing. NVIDIA’s Bryan Catanzaro and Jonathan Cohen discuss the breakthroughs in efficiency, openness, and collaboration — sharing how Nemotron empowers developers and enterprises to innovate, customize, and trust AI for every industry. Browse the full AI Podcast archive: ai-podcast.nvidia.com
Bryan Catanzaro is NVIDIA's VP of applied deep learning research. He joins Big Technology Podcast to discuss why NVIDIA is building more than just chips, examining its software and algorithms that help tech companies build and run AI models. Join us for a conversation about how NVIDIA sees the world, what's led to its success, and what makes it indispensable. In the second half, we discuss how Bryan helped kick off NVIDIA's push into AI, from the very start to where it is today. --- --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Questions? Feedback? Write to: bigtechnologypodcast@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices
Today we’re joined by Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. Most folks know Bryan as one of the founders/creators of cuDNN, the accelerated library for deep neural networks. In our conversation, we explore his interest in high-performance computing and its recent overlap with AI, his current work on Megatron, a framework for training giant language models, and the basic approach for distributing a large language model on DGX infrastructure. We also discuss the three different kinds of parallelism, tensor parallelism, pipeline parallelism, and data parallelism, that Megatron provides when training models, as well as his work on the Deep Learning Super Sampling project and the role it's playing in the present and future of game development via ray tracing. The complete show notes for this episode can be found at twimlai.com/go/507.
This week's episode features Bryan Catanzaro, vice president of applied deep learning research at NVIDIA, and if you've been following the podcast for a while, you know that an earlier episode featuring Bryan is one of the most popular podcasts we've done. Bryan is going to walk us through some of the latest developments at NVIDIA research... as well as share a story that involves Andrew Ng and cats.
Bryan Catanzaro, vice president for applied deep learning research at NVIDIA, talks about how we know an AI technology is working, the potential for AI-powered speech, and where we’ll see the next deep learning breakthroughs.